Establishment and application of autoverification system for HbA1c testing.

Area of Science:

• Clinical Chemistry
• Laboratory Automation
• Diagnostic Technology

Background:

• Routine glycated hemoglobin (HbA1c) analysis is crucial for diabetes management.
• High-performance liquid chromatography (HPLC) is a common method for HbA1c testing.
• Automating verification processes can enhance laboratory efficiency and reduce turnaround times.

Purpose of the Study:

• To establish effective autoverification rules for routine HbA1c analysis using HPLC.
• To evaluate the performance of different autoverification systems in terms of passing rates and turnaround time reduction.
• To identify the optimal autoverification strategy for HbA1c testing.

Main Methods:

• Utilized a laboratory information system (LIS) and Bio-Rad D-100 Advisor software for autoverification.
• Collected a large dataset of HbA1c and matching fast plasma glucose (FPG) results for rule determination and validation.
• Developed four autoverification systems incorporating various flags, delta checks, reporting limits, and logical rules.

Main Results:

• Autoverification systems achieved passing rates between 78.8% and 83.7%.
• Average time savings in turnaround time (TAT) ranged from 116.7 to 121.7 minutes.
• System C, utilizing specific logical rules based on FPG distribution, showed the best performance.

Conclusions:

• An optimized autoverification system for HbA1c analysis significantly shortens auditing report times.
• The implementation of autoverification improves overall laboratory work efficiency.
• The use of FPG distribution as logical rules enhances the performance of HbA1c autoverification.